Adaptive Synchronization of Memristor-Based Neural Networks with Time-Varying Delays.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 25389244.
- Also identified by DOI 10.1109/TNNLS.2014.2361776.
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Abstract
In this paper, adaptive synchronization of memristor-based neural networks (MNNs) with time-varying delays is investigated. The dynamical analysis here employs results from the theory of differential equations with discontinuous right-hand sides as introduced by Filippov. Sufficient conditions for the global synchronization of MNNs are established with a general adaptive controller. The update gain of the controller can be adjusted to control the synchronization speed. The obtained results complement and improve the previously known results. Finally, numerical simulations are carried out to demonstrate the effectiveness of the obtained results.
Medical subject headings
- Algorithms
- Memory
- Neural Networks, Computer
- Neurons
- Nonlinear Dynamics